The average weight of new-born kittens is 3.5 ounces. A breeder suspects one of hercats, Stella, produces extra small kittens. The breeder's suspicions arise from theweights of Stella's most recent litter of kittens: (3.1, 3.3, 3.0, 3.7, 2.9, 2.9}. Note that thesample mean is x = 3.15 oz. Assume that the standard deviation of the weight of allStella's new-born kittens is 0.3 oz.Test at the 5% significance level whether the average weight of Stella's new-bornkittens is below 3.5 oz. Complete all 6 steps of your hypothesis test, including adiscussion of the assumptions.Obtain and interpret a 90% two-sided confidence interval for the mean weight of allStella's new-born kittensDoes the interval in part (b) give evidence that the average weight of Stella's new-bornkittens differs from 3.5 oz? Explain.

Answered: Image /qna-images/answer/5b99e0d2-4884-4cb4-a701-1735c3fc7752.jpg

Answered: The average weight of new-born kittens…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The Army reports that the distribution of head circumferences among male soldiers is approximately normal with μ =22.8 inches and σ = 1.1 inches. What is the circumference of a soldier whose head is 2.34 standard deviations above the mean?
Two estimates are available for the same population parameter. Estimate one has a standard deviation of 8.5 and estimate two has a standard deviation of 8.7. Estimate two is unbiased, whereas estimate one is biased. Which estimate would you choose and why?
A public bus company official claims that the mean waiting time for Bus # 14 during peak hours is approximately 10 minutes. Karen took Bus # 14 during peak hours on 36 different occasions. Her mean waiting time was 8.7 minutes. Assume that the population standard deviation o of 2.9 minutes is known. At the 0.01 significance level, test if the mean of all the peak hours waiting time for Bus # 14 is significantly different from 10 minutes.
Assume that the heights of women are normally distributed with a mean of 62.4 inches and a standard deviation of 1.6 inches. Find Q3 the third quartile that separates the bottom 75% from the top 25%
The systolic blood pressure of adults in the USA is nearly normally distributed with a mean of 121 and standard deviation of 16 .Someone qualifies as having Stage 2 high blood pressure if their systolic blood pressure is 160 or higher.c. Stage 1 high BP is specified as systolic BP between 140 and 160. What percentage of adults in the US qualify for stage 1?____%d. Your doctor tells you you are in the 30th percentile for blood pressure among US adults. What is your systolic BP? Round to 2 decimal places.____lbs
light examined data on employment and answered questions regarding why workers separate from their employes. According to the article, the standard deviation of the length of time that women with one job are employed during the first 8 years of their career is 92 weeks. Length of time employed during the first 8 years of career is a left skewed variable. For that variable, do the following tasks. A. determine the sampling distribution of the sample mean for simple random samples of 50 women with one job. Explain your reasoning B. Obtain the probability that the sampling error made in estimating the mean length of time employed by all women with one job by that of a random sample of 50 such women will be at most 20 weeks
3. The average height of a male student in the EDA class of Engr. Ventura in PLM has historically been 1.625 meters with a standard deviation of 0.07 meter. Is there a reason to believe that there has been a change in the average height of male EDA students under Engr. Ventura if a random sample of 50 males in the present EDA class has an average height of 1.652 meters? Assume the standard deviation remains the same.
A population has a mean u= 81 and a standard deviation o = 21. Find the mean and standard deviation of a sampling distribution of sample means with sample size n = 255. (Simplify your answer.) (Type an integer or decimal rounded to three decimal places as needed.)
The average life span of one particular brand of refrigerator is 12 years with a standard deviation of 0.8. Find the percentage of the refigerators that last between 10 and 14.5 years. O 99.3% 99.9% 95.9% 97.8% ▶
The average age of construction workers is 32 years with a standard deviation of 5 years. If a construction company employs 25 workers, find the probability that the average age of the group is greater than 33.9 years old. If this is the case, would it be safe to assume that the construction workers in this group are generally much older than average? Assume that the sample is taken from a large population and the correction factor can be ignored. Give your final answer as a percent rounded to two decimal places. Fill in the blank: P(z > _____) = _______% (select) Yes or No, since the sample mean is not ____ standard deviations (standard errors) beyond the population mean.
What is the standard deviation if the variance is 6.25? A, 2.5 B, 2.8 C. 3.5 D. 3.8
Suppose the mean blood pressure for people in a certain country is 130 mmHg with a standard deviation of 24 mmHg. Blood pressure is normally distributed. State the random variable. The mean blood pressure of people in the country. The standard deviation of blood pressures of people in the country. O The blood pressure of a person in the country. Suppose a sample of size 10 is taken. State the shape of the distribution of the sample mean. The shape of the sampling distribution of the sample mean is unknown since the population of the random variable is normally distributed and the sample size is less than 30. The sampling distribution of the sample mean is normally distributed since the population is normally distributed. The sampling distribution of the sample mean is unknown since the sample size is less than 30. Suppose a sample of size 10 is taken. State the mean of the sample mean. Suppose a sample of size 10 is taken. State the standard deviation of the sample mean. Round to two…

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